A line spacing compression method and an improved minimum curvature operator for grid interpolation of airborne magnetic surveys
Michael D. O’Connell 1 3 Matthew Owers 21 1679 Laurelwood Place, Ottawa, Ontario K1C 6Y4, Canada.
2 Fugro Airborne Surveys, 65 Brockway Road, Floreat, Perth, WA 6014, Australia.
3 Corresponding author. Email: moconnell_phys@hotmail.com
Exploration Geophysics 39(3) 148-154 https://doi.org/10.1071/EG08016
Submitted: 5 May 2007 Published: 22 September 2008
Abstract
We have modified the minimum curvature gridding method to cope with various flight line gaps, by employing a line spacing compression technique. The line spacing compression method was applied to magnetic data from a survey in northern Canada and was able to smoothly interpolate across the unevenly spaced lines without creating false anomalies. We have also derived a new, longer minimum curvature operator to handle flight lines of various lengths. The longer operator was applied to South Australia Salinity Project data and it removed the artificial boundaries at changes in flight line spacing and smoothly interpolated anomalies even over wider flight line gaps.
Key words: anisotropy, gridding, magnetics, minimum curvature, variable line spacing.
Acknowledgments
We thank Richard Smith, Pierre Keating and an anonymous reviewer for their comments and suggestions and to Fugro Airborne Surveys for allowing publication. The aeromagnetic data in Figures 5–7 were acquired for the South Australian Salinity Mapping and Management Support Project funded by the National Action Plan for Salinity and Water Quality. The National Action Plan for Salinity and Water Quality is a joint initiative between the State and Commonwealth Governments. Fugro Airborne Surveys acknowledges their permission to use these data.
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O’Connell, M. D., Smith, R. S., and Vallée, M. A., 2005, Gridding aeromagnetic data using longitudinal and transverse horizontal gradients with the minimum curvature operator: Leading Edge 24, 142–145.
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Smith, R. S., and O’Connell, M. D., 2005, Interpolation and gridding of aliased geophysical data using constrained anisotropic diffusion to enhance trends: Geophysics 70, V121–V127.
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Appendix
A SOLUTION OF FINITE-DIFFERENCE EQUATIONS FOR PROFILES
For interpolated points near an observation along a profile, wn , Briggs’ (1974) equations 15 to 21 can be modified to have two bj values, and ξ is defined as the distance from the profile location, i, to the observation point at yn :
and for the point near the observation,
where uk is the closest value on the profile. Note that all distances are in units of grid intervals.
Smith and Wessel (1990) describe a formulation to include tension (T) in the 2D minimum curvature algorithm (Briggs, 1974) that will give continuous second derivatives and relax the minimum curvature constraint. Smith and Wessel’s (1990) equations, A-4 and A-7, are modified to the 1D case.
O’Connell and Smith (2005) show that
and for the point near the observation, Eqn (A-3) becomes
where the subscript k = ±1 and ui + k is the interpolated point on the profile that is nearest to wn . The tension, T, can take on values in the range of [0,1].